Vaggelis Atlidakis

Artificial Intelligence · with Geambasu · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 105 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Vaggelis Atlidakis trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ian J. Goodfellow
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Christian Szegedy
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Yoshua Bengio
  8. Ross B. Girshick
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Vaggelis Atlidakis overall

  1. Bai Li
  2. Huan Zhang
  3. Changyou Chen
  4. Adnan Siraj Rakin
  5. Bo Li
  6. Jeremy M. Cohen
  7. Inioluwa Deborah Raji
  8. Sungyoon Lee
  9. Dena F. Mujtaba
  10. Bill Howe

Papers from Vaggelis Atlidakis's perspective

Ordered by how strongly the researchers Vaggelis Atlidakis trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers